code: def forward(self, h):
      # equation (1)
      z = self.fc(h)
      self.g.ndata["z"] = z
      # equation (2)
      self.g.apply_edges(self.edge_attention)
      # equation (3) & (4)
      self.g.update_all(self.message_func, self.reduce_func)
      return self.g.ndata.pop("h")
  
imports: import os
  import torch
  import torch.nn
  import torch.nn.functional
  from dgl.nn.pytorch import GATConv
  import networkx
  from dgl import DGLGraph
  from dgl.data import citation_graph
  import time
  import numpy
label_desc: Use image node_id 6 for calling the GATLayer obj's underlying member method code with example usage: obj.forward(h) and returns: self